Tutorial 1: Global-scale Localization in Outdoor Environments for AR

Abstract

In this tutorial we aim for a review of existing technologies to perform outdoor localization in urban environments at a global level in full 6DOF using visual sensors primarily. The goal is to provide a clear overview about the current state-of-the-art in global positioning and orientation estimation, which includes a wide range of methods and algorithms from both the Computer Vision and the Augmented Reality community.  The main focus is put on methods that are real-time capable, or can at least be applied through a server-client infrastructure. Algorithms that are based on single images, panoramic images, as well as SLAM maps and sparse point cloud reconstructions from SfM will be discussed, together with mobile hardware considerations.The attendees will acquire an overview about the current landscape of technologies employed to facilitate outdoor localization for AR. The tutorial should enable them to get a feeling for the current state-of-the-art of methods for outdoor Augmented Reality.